
Nicola Lombardi
Ingegneria / Architettura
Informazioni su Nicola Lombardi:
I am a qualified HW Engineer (mid-level seniority) in telecoms and hardware design and
SW Engineer with experience in Data Analysis, Artificial Intelligence, and Machine
Learning using Python.
My primary field is Baseband Python Automation Testing of Cellular Modules, including
UART, SPI, I2C, Ethernet, DHCP, TCP/IP, and SDN with a focus on IoT Systems (4G/5G)
and Computer Architecture.
My proficiency in Python includes Visual Studio, PyCharm, virtual environments, Jupyter
Notebook, PowerShell (Windows), and Docker.
Strong creative and analytical / statistics skills. Team player with an eye for detail.
Esperienza
Since 2022, I am a qualified Hardware and Software Engineer with mid-level seniority in telecoms and hardware design, software engineering, and research topics such as Data Analysis, Artificial Intelligence, and Machine Learning using Python. My primary field is Baseband Python Automation Testing of Cellular Modules, including UART, SPI, I2C, Ethernet, DHCP, TCP/IP, and SDN.
I started as Software Developer in 2018 and covered the role of Hardware Internship Engineer in BithiaTec (Cagliari). Subsequently I obtained my degrees. I hold a MSc in Telecommunications Engineering and a BSc in Computer Electronics Engineering from the University of Cagliari, with a focus on IoT Systems (4G/5G) and Computer Architecture.
My interests in IoT, Embedded Systems (software development) and AI have led me to work with various practical projects during my University courses, developing expertise in Python, using tools such as Visual Studio, PyCharm, virtual environments, Jupyter Notebook, PowerShell (Windows), and Docker; additionally, doing experience with C/C++ , particularly in CCN embedded applications with Zybo Z7 with FPGA and IPC applications with Linux.
While I was studying for the MSc between 2021 and 2022, I covered the role of High School Professor in Oristano at the ITIS Othoca.
My experience at Telit-Cinterion (Thales) as a Hardware Engineer in the Research and Development department allowed me to apply all my best skills obtained from my MSc in the Internet of Things to Baseband Automation Testing. I improved these skills through cooperation with different departments within the company, including Software, Firmware, Audio, Validation, Application, and Customer Support. I possess strong problem-solving capabilities, as well as creative, analytical, and statistical skills, which I have applied using C and Python languages in various scenarios. I am an individual who already knows how to work efficiently, having undergone onboarding processes in three different workplaces, and I can adapt quickly to new environments.
Istruzione
Obtained MSc (LM27) in Internet of Things and the Grade was “110 / 110 with Honors”.
Thesis on “Design of integrated nanoantennas for SOI Optical Phased
Array @ 1550 nanometers on CST Studio Suite.”
Mentor: Paolo Pintus - www dot ucsb dot edu
Validation of the Grating Coupler array presented in Lukas Chrostowski,
Michael Hochberg - Silicon Photonics Design
Flow chart development to optimize a Grating Coupler with 30 elements
using sweep parameter for Fill Factor, Etching Depth, Period and Cross
section, using CST, Python and Matlab.